Discontinuity adaptive MRF model for remote sensing image analysis

Author

Smits, P.C. ; Dellepiane, S.G.

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

Volume

2

fYear

1997

fDate

3-8 Aug 1997

Firstpage

907

Abstract

An approach is presented for the analysis of synthetic aperture radar (SAR) images that preserves better fine structures and borders in the image than classical methods. The method uses the discontinuity adaptive MRF label model combined with an observation model-based on a gamma distribution. This resulted in a new algorithm that is more suited to the segmentation of SAR images if one is interested in preserving details. Examples are given using real SAR data

Keywords

Markov processes; adaptive signal processing; gamma distribution; geophysical signal processing; geophysical techniques; image segmentation; radar imaging; remote sensing by radar; synthetic aperture radar; MRF label model; Markov random field; SAR; adaptive signal processing; algorithm; border; discontinuity adaptive MRF model; fine structure; gamma distribution; geophysical measurement technique; image analysis; image processing; image segmentation; land surface; observation model; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; Data mining; Humans; Image analysis; Image segmentation; Image sensors; Instruments; Modems; Power generation economics; Remote sensing; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615294

Filename

615294